Work is related to Density-Based Data Streams Clustering Algorithms.
Density-based method is a remarkable class in clustering data streams,
which has the ability to discover arbitrary shape clusters and to detect noise. Furthermore, it does not need the number of clusters in advance.
We need to develop a new problem and then extend it using Hadoop.
I first require base paper, problem statement and formal plan of implementation first.